Showing results for "Visualization in Scientific Computing English"

This non-traditional introduction to the mathematics of scientific computation describes the principles behind the major methods, from statistics, applied mathematics, scientific visualization, and elsewhere, in a way that is accessible to a large part of the scientific community. Introductory material includes computational basics, a review of coo

Accelerate your Python code on the GPU using CUDA, Numba, and modern libraries to solve real-world problems faster and more efficiently.Key FeaturesBuild a solid foundation in CUDA with Python, from kernel design to execution and debuggingOptimize GPU performance with efficient memory access, CUDA streams, and multi-GPU scalingUse JAX, CuPy, RAPIDS, and Numba to accelerate numerical computing and machine learningCreate practical GPU ap...

Leverage this example-packed, comprehensive guide for all your Python computational needsKey FeaturesLearn the first steps within Python to highly specialized conceptsExplore examples and code snippets taken from typical programming situations within scientific computing.Delve into essential computer science concepts like iterating, object-oriented programming, testing, and MPI presented in strong connection to applications within scientific co...

Learn to solve scientific computing problems using Scala and its numerical computing, data processing, concurrency, and plotting librariesKey Features\[\*\]Parallelize your numerical computing code using convenient and safe techniques.\[\*\]Accomplish common high-performance, scientific computing goals in Scala.\[\*\]Learn about data visualization and how to create high-quality scientific plots in ScalaBook DescriptionScala i...

Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. ...

GCC subscription-based access to infrastructure, platforms, and applications that are popularly referred to as IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service). While these emerging services have increased interoperability and usability and reduced the cost of computation, application hosting, and content storage and delivery by several orders of magnitude, there is significant complexity involved in ensuring that applications and services ...

Parallel Scientific ComputingScientific computing has become an indispensable tool in numerous fields, such as physics, mechanics, biology, finance and industry. For example, it enables us, thanks to efficient algorithms adapted to current computers, to simulate, without the help of models or experimentations, the deflection of beams in bending, the sound level in a theater room or a fluid flowing around an aircraft wing.This book presents the scie...

Scientific computing is about developing mathematical models, numerical methods and computer implementations to study and solve real problems in science, engineering, business and even social sciences. Mathematical modelling requires deep understanding of classical numerical methods. This essential guide provides the reader with sufficient foundations in these areas to venture into more advanced texts.The first section of the book presents numEclipse, an open source tool for numerical comp...

An example-rich, comprehensive guide for all of your Python computational needsKey Features\[\*\] Your ultimate resource for getting up and running with Python numerical computations\[\*\] Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules\[\*\] A hands-on guide to implementing mathematics with Python, with complete coverage of all the key conceptsBook DescriptionPython c...

This manuscript is about an artifact, the Encyclopedia of Computer Science (ECS). From the time that computer science was mature enough to have its own reference book until printed reference books began to be eclipsed by online products—that is, roughly the final quarter of the 20th century—ECS was the premiere reference work for this field. A second purpose of this book is to introduce with this important case study a theoretical examination of how one can study the history of a ...

Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques introduces the reader to advanced concepts in stochastic modelling, rooted in an intuitive yet rigorous presentation of the underlying mathematical concepts. A particular emphasis is placed on illuminating the underpinning Mathematics, and yet have the practical applications in mind. The reader will find valuable insights into topics ranging from Social Sciences and Particle Physic...

This book analyzes the impact of scientific computing in science and society over the coming decades. It presents advanced methods that can provide new possibilities to solve scientific problems and study important phenomena in society. The chapters cover Scientific computing as the third paradigm of science as well as the impact of scientific computing on natural sciences, environmental science, economics, social science, humanistic science, medicine, and engineering. Moreover, the book i...